Aorta reshaping during a type B dissection Pr. CHAKFE, Dr. GEORG Vascular surgery departement, Strasbourg university Hospital

Project manager: Arnaud ABREU Quality manager: Nicolas GAUTIER Communication manager: Alexandre DURAND Financial manager: Christophe AUGUSTO

Tutor : Mr. COLLET

Contributor: Mr. NAEGEL Mr. HETT

Summary I.

Project presentation

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Context Problematic

II. Software development -

Region growing Lagrange polynomial interpolation Graphical user interface Planes

III. Progress assessment -

Task distribution Encountered issues Progress

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Project presentation

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Context Vascular network

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Context    

Aortic dissection: rare disease (5 to 10 people per million inhabitants). Strasbourg hospital: 47 patients since 2005. Rip of aorta internal layers: intima + 2/3 média. Stanford classment : Type A, Type B and Type C.

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Context Objectives   

Provide informations about B type aortic dissection. Increase informations precision and accuracy. Lay the fundation of a bigger project.

Delivrable    

Interactive software containing a Graphical User Interface. Area mesure of true and false lumen at different aortic level. Volume mesure of true and false lumen. Location and shape of entry and exit tears.

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Problematic Surgical treatment: endovascular surgery  Positioning of a stent in order to wrap the entry tear. Data issue about aortic dissection:  Lack of informations about aortic dissection.  When to treat ? Length of stent ?  Random chronology from a patient to another.

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Software development

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Programming languages Python    

Grayscale mathematics morphology issues. Very usefull for visualisation. Very long interpretation time. Some algorithm hard to code with python. C++

 More efficient for the rest of the project.  Time efficient, easy to use. Project  Use of both C++ and python.  Complement one another.

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Region growing Coding  C++ code.  Input : DICOM image / output : colored region of interest.  Aim : find the edge of the aorta / calculate the area of a section.

Algorithm

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Positioning of a point in the aorta. We run a function on this point. It colors this point. It runs itself on the four neighbor points. Stop condition: drop in the average value of the eight neighbor.

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Region growing

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Lagrange polynomial interpolation Aim of the program  Find the shape of true and false lumen by positioning points (use of graphical user interface).  Use of Lagrange polynomial interpolation.

Mathematics

 Interpolation:

 Lagrange polynomial:

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Graphical user interface Coding    

Python code. Input : DICOM folder / output : text file with coordinates of interests’ points. Aim : Enable physicians to interact with the software. Rise their degree of freedom. Features

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Design with Tkinter python library. Open a file explorer. Choose a directory where there are DICOM files. Display the images. Placement of some points.

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Graphical user interface

Demonstration

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Segmentation

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Planes Coding

 Python code.  Input : polynomial interpolation / output : polynome with all the orthogonal planes.  Aim : find the plane where the aorta is a circle. Mathematics  Direction vector of the tangent:

 Growth rate:

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Planes

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Recap

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Progress assessment

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Task distribution Nicolas  Creation of polynomial interpolation.  Aorta isolation from plans. Christophe / Alexandre  Research about DICOM processing libraries.  Creation of the graphical user interface.  Region growing. Arnaud  Creation of edge polygon.  Creation of polynomial interpolation.  Configuration of plane section.

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Encountered issues Aorta area

 Issue with aorta area algorithm.  Region growing. C++/Python programs  How to merge the differents program ? Polynomial interpolation  Find the plans where the section of the aorta is a circle. Graphical user interface  Lots of libraries.  Scrollbar does not work at the moment.

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Gantt diagram Former diagram

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Gantt diagram Current diagram

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Progress

Ongoing tasks      

Finish off the graphical user interface. Finish off the surface calculator program. Modify the Lagrange polynomial interpolation. Merge all the programs. Test phase with physicians. Documentation.

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Conclusion  Automation level lower than initialy predicted.  Use of the graphical user interface and lagrange interpolation instead of mathematics morphology.

 Aim of the segmentation: surfaces and volumes measure.  Use the instance of the region growing (done).  Need to find the plane where the aorta is a circle.  Find the orthogonals planes to the Lagrange polynomial (done).  Insulate in the 3D matrix and run the region growing (ongoing).

 Check the region growing with defined parameters (to be done).  Validation with the physicians (to be done).

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Thank you for your attention Do you have any questions?

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